A causal network for strategic foresight of Inclusive Climate Actions through co-creation of Nature-Based Solutions
自然を基盤とした解決策の共創を通じた包摂的な気候変動対策の戦略的先見性のための因果ネットワーク (AI 翻訳)
Virginia Pellerey, Sara Torabi Moghadam, Akito Murayama
🤖 gxceed AI 要約
日本語
本論文は、自然を基盤とした解決策（NBS）など包摂的な気候変動対策（ICA）の都市システムへの影響を評価するための因果ネットワークを構築し、デジタル意思決定支援ツールとして実装する手法を提案する。このツールは、KPI間の関係性を定義し、利用者が選択した対策による相対変化を数値的・空間的に推定する。また、ワークショップでのリアルタイム情報提供を可能とする。
English
This paper develops a causal network and digital decision-support tool for evaluating the impacts of Inclusive Climate Actions (ICAs), such as Nature-Based Solutions, in complex urban systems. The tool defines relationships between ICAs and key performance indicators, estimates changes numerically and spatially, and supports participatory co-creation with stakeholders.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の都市でも気候変動適応・緩和策の統合的評価が求められており、本手法は参加型計画や自治体の意思決定に活用できる。特に、東京大学との共同研究を通じて日本への応用可能性が期待される。
In the global GX context
Globally, this work contributes to the growing need for integrated urban climate action planning tools. It provides a systems-thinking approach that automates impact estimation and facilitates stakeholder engagement, aligning with the shift toward evidence-based, participatory urban governance.
👥 読者別の含意
🔬研究者:Demonstrates a novel causal network methodology for evaluating ICAs and NBS in urban systems, with potential for further refinement and empirical validation.
🏢実務担当者:Offers a practical tool for participatory scenario planning and real-time impact assessment in urban climate action workshops.
🏛政策担当者:Supports data-driven urban climate policy by quantifying synergies and trade-offs among multiple ICAs and KPIs.
📄 Abstract（原文）
Urban systems exhibit complex dynamics that create interrelated environmental, social, and economic challenges. While most studies focus on sector-specific issues, recent approaches address urban complexity through comprehensive frameworks grounded on Systems thinking. In this context, Inclusive Climate Actions (ICAs) are adopted not only to mitigate and adapt to climate change, but also to deliver social and economic benefits. Nevertheless, the impacts of ICAs within urban systems remain largely unexplored. This study develops a digital decision-support tool based on a foresight methodology to facilitate the co-creation of urban development scenarios through ICAs , such as Nature-based Solutions, integrated within complex urban systems. The methodology constructs a causal network that defines the relationships between ICAs and pre-defined Key Performance Indicators, and operationalizes it as digital decision-support tool. Additionally, the network defines interrelationships among KPIs, highlighting synergies and trade-offs. The tool estimates the relative changes induced by the actions selected by users, both numerically and spatially. The digital decision-support tool is designed to automate the estimation process, and can be used during participatory workshops with local stakeholders, citizens, and public administrations to provide real-time information on the impacts of selected actions. This work is part of the DUT-funded GREEN-INC project.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.scs.2026.107674first seen 2026-07-04 04:56:23
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。